IEEE Pacific Visualization Symposium : [proceedings]. IEEE Pacific Visualisation Symposium最新文献

A Tale of Two Centers: Visual Exploration of Health Disparities in Cancer Care. 两个中心的故事:癌症护理中健康差异的视觉探索。

IEEE Pacific Visualization Symposium : [proceedings]. IEEE Pacific Visualisation Symposium Pub Date : 2022-04-01 DOI: 10.1109/pacificvis53943.2022.00019

Sanjana Srabanti, Michael Tran, Virginie Achim, David Fuller, Guadalupe Canahuate, Fabio Miranda, G Elisabeta Marai

{"title":"A Tale of Two Centers: Visual Exploration of Health Disparities in Cancer Care.","authors":"Sanjana Srabanti, Michael Tran, Virginie Achim, David Fuller, Guadalupe Canahuate, Fabio Miranda, G Elisabeta Marai","doi":"10.1109/pacificvis53943.2022.00019","DOIUrl":"https://doi.org/10.1109/pacificvis53943.2022.00019","url":null,"abstract":"<p><p>The annual incidence of head and neck cancers (HNC) worldwide is more than 550,000 cases, with around 300,000 deaths each year. However, the incidence rates and disease-characteristics of HNC differ between treatment centers and different populations, due to undetermined reasons, which may or not include socioeconomic factors. The multi-faceted and multi-variate nature of the data in the context of the emerging field of health disparities research makes automated analysis impractical. Hence, we present a visual analysis approach to explore the health disparities in the data of HNC patients from two different cohorts at two cancer care centers. Our approach integrates data from multiple sources, including census data and city data, with custom visual encodings and with a nearest neighbor approach. Our design, created in collaboration with oncology experts, makes it possible to analyze the patients' demographic, disease characteristics, treatments and outcomes, and to make significant comparisons of these two cohorts and of individual patients. We evaluate this approach through two case studies performed with domain experts. The results demonstrate that this visual analysis approach successfully accomplishes the goal of comparing two cohorts in terms of different significant factors, and can provide insights into the main source of health disparities between the two centers.</p>","PeriodicalId":73302,"journal":{"name":"IEEE Pacific Visualization Symposium : [proceedings]. IEEE Pacific Visualisation Symposium","volume":"2022 ","pages":"101-110"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9344952/pdf/nihms-1822958.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9968895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Keynote speaker: Requirements and recent directions in augmented reality visualization 主讲人:增强现实可视化的需求和最新方向

IEEE Pacific Visualization Symposium : [proceedings]. IEEE Pacific Visualisation Symposium Pub Date : 2017-04-01 DOI: 10.1109/PACIFICVIS.2017.8031571

G. Kim

{"title":"Keynote speaker: Requirements and recent directions in augmented reality visualization","authors":"G. Kim","doi":"10.1109/PACIFICVIS.2017.8031571","DOIUrl":"https://doi.org/10.1109/PACIFICVIS.2017.8031571","url":null,"abstract":"The field of information visualization studies the interactive visual representations of data to reinforce human cognition, thereby facilitate the discovery of new tacit knowledge and even amplify human intelligence. Augmented reality (AR) shares the same objective and it can be treated as one particular form of information visualization where the data are both the real objects and the augmentations for them. As such, it presents a unique set of problems within the general requirements for an effective information visualization method. In this talk, I will first outline and put forth four main requirements for AR visualization, namely, (1) naturalness, (2) visibility (3) persistance/stability and (4) glass/hmd ergonomics. Then I will present a short survey of the existing AR visualization techniques and characterize them by their attributes and categorize them in terms of how they satisfy or address the proposed requirements. Finally, I will also introduce some of my own on-going research work in this area, specifically, for real time contrast adjustment for mobile augmented reality, usability with glasses, augmentation data organization, and multimodal AR data presentation. I hope that this work can instigate and shed some light on the future directions for further research in AR visualization techniques.","PeriodicalId":73302,"journal":{"name":"IEEE Pacific Visualization Symposium : [proceedings]. IEEE Pacific Visualisation Symposium","volume":"1 1","pages":"xiv"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/PACIFICVIS.2017.8031571","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48764325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Keynote speaker: Changing the world with visual analytics 主讲人：用视觉分析改变世界

IEEE Pacific Visualization Symposium : [proceedings]. IEEE Pacific Visualisation Symposium Pub Date : 2017-04-01 DOI: 10.1109/PACIFICVIS.2017.8031570

D. Ebert

{"title":"Keynote speaker: Changing the world with visual analytics","authors":"D. Ebert","doi":"10.1109/PACIFICVIS.2017.8031570","DOIUrl":"https://doi.org/10.1109/PACIFICVIS.2017.8031570","url":null,"abstract":"To solve the world's challenges requires not only advancing computer science and big data analytics but requires new analysis and decision-making environments that effectively couple human decision making with advanced, guided analytics in a human-computer collaborative discourse and decision making (HCCD). While many researchers and companies are focusing solely on Big Data Analytics to harness the potential power in available massive, multisource, multivariate, evolving digital data, many of these big data solutions don't effectively factor the human decision maker into their proposed solution. The HCCD approach builds upon visual analytics and focuses on empowering the decision maker through interactive visual analytic environments where visual cognition, guided discovery, and non-digital human expertise and experience can be combined with state-of-the-art analytical techniques. When we combine this approach with real-world application-driven research, not only does the pace of scientific innovation accelerate, but impactful change occurs. This work and these systems can be applied to social change, advancing engineering, and science and solving some of the world's greatest challenges such as sustainability and security. In this talk, I'll outline this approach and highlight the potential and impact of application driven HCCD research.","PeriodicalId":73302,"journal":{"name":"IEEE Pacific Visualization Symposium : [proceedings]. IEEE Pacific Visualisation Symposium","volume":"1 1","pages":"xiii"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/PACIFICVIS.2017.8031570","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45080607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Chair message 椅子上的消息

IEEE Pacific Visualization Symposium : [proceedings]. IEEE Pacific Visualisation Symposium Pub Date : 2015-04-01 DOI: 10.1109/PACIFICVIS.2017.8031566

D. Weiskopf, Yingcai Wu, Tim Dwyer, Yun Jang, Naohisa Sakamoto

引用次数: 0

Keynote speaker 主讲人

IEEE Pacific Visualization Symposium : [proceedings]. IEEE Pacific Visualisation Symposium Pub Date : 2015-01-01 DOI: 10.1109/PACIFICVIS.2015.7156348

Fei-Yue Wang

引用次数: 0

Keynote speaker 主讲人

IEEE Pacific Visualization Symposium : [proceedings]. IEEE Pacific Visualisation Symposium Pub Date : 2015-01-01 DOI: 10.1109/PACIFICVIS.2015.7156347

A. Ynnerman

引用次数: 0

Uncertainty Visualization in HARDI based on Ensembles of ODFs. 基于odf集合的HARDI不确定性可视化。

IEEE Pacific Visualization Symposium : [proceedings]. IEEE Pacific Visualisation Symposium Pub Date : 2012-12-31 DOI: 10.1109/PacificVis.2012.6183591

Fangxiang Jiao, Jeff M Phillips, Yaniv Gur, Chris R Johnson

引用次数: 37

Quantitative visualization in the computational biological sciences 计算生物科学中的定量可视化

IEEE Pacific Visualization Symposium : [proceedings]. IEEE Pacific Visualisation Symposium Pub Date : 2012-02-28 DOI: 10.1109/PacificVis.2012.6183567

C. Bajaj

{"title":"Quantitative visualization in the computational biological sciences","authors":"C. Bajaj","doi":"10.1109/PacificVis.2012.6183567","DOIUrl":"https://doi.org/10.1109/PacificVis.2012.6183567","url":null,"abstract":"Discoveries in computational molecular - cell biology and bioinformatics promise to provide new therapeutic interventions to disease. With the rapid growth of sequence and structural information for thousands of proteins and hundreds of cell types, computational processing are a restricting factor in obtaining quantitative understanding of molecular-cellular function. Processing and analysis is necessary both for input data (often from imaging) and simulation results. To make biological conclusions, this data must be input to and combined with results from computational analysis and simulations. Furthermore, as parallelism is increasingly prevalent, utilizing the available processing power is essential to development of scalable solutions needed for realistic scientific inquiry. However, complex image processing and even simulations performed on large clusters, multi-core CPU, GPU-type parallelization means that naive cache unaware algorithms may not efficiently utilize available hardware. Future gains thus require improvements to a core suite of algorithms underpinning the data processing, simulation, optimization and visualization needed for scientific discovery. In this talk, I shall highlight current progress on these algorithms as well as provide several challenges for the visualization community.","PeriodicalId":73302,"journal":{"name":"IEEE Pacific Visualization Symposium : [proceedings]. IEEE Pacific Visualisation Symposium","volume":"70 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2012-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91398167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

FluoRender: An Application of 2D Image Space Methods for 3D and 4D Confocal Microscopy Data Visualization in Neurobiology Research. FluoRender：神经生物学研究中三维和四维共聚焦显微镜数据可视化的二维图像空间方法应用。

IEEE Pacific Visualization Symposium : [proceedings]. IEEE Pacific Visualisation Symposium Pub Date : 2012-01-01 DOI: 10.1109/pacificvis.2012.6183592

Yong Wan, Hideo Otsuna, Chi-Bin Chien, Charles Hansen

引用次数: 0